IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i2p372-d1317603.html
   My bibliography  Save this article

Towards High-Performance Linear Potential Flow BEM Solver with Low-Rank Compressions

Author

Listed:
  • Matthieu Ancellin

    (Eurobios Mews Labs, 191 Avenue Aristide Briand, 94230 Cachan, France)

  • Pierre Marchand

    (POEMS, CNRS, Inria, ENSTA Paris, Institut Polytechnique de Paris, 91120 Palaiseau, France)

  • Frédéric Dias

    (Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, 91190 Gif-sur-Yvette, France)

Abstract

The interaction of water waves with floating bodies can be modeled with linear potential flow theory and numerically solved with the boundary element method (BEM). This method requires the construction of dense matrices and the resolution of the corresponding linear systems. The cost of this method in terms of time and memory grows at least quadratically with the size of the mesh, and the resolution of large problems (such as large farms of wave energy converters) can, thus, be very costly. Approximating some blocks of the matrix with data-sparse matrices can limit this cost. While matrix compression with low-rank blocks has become a standard tool in the larger BEM community, the present paper provides its first application (to our knowledge) to linear potential flows. In this paper, we assess how efficiently low-rank blocks can approximate interaction matrices between distant meshes when using the Green function of linear potential flow. Due to the complexity of this Green function, a theoretical study is difficult, and numerical experiments are used to test the approximation method. Typical results on large arrays of floating bodies show that 99% of the accuracy can be reached with 10% of the coefficients of the matrix.

Suggested Citation

  • Matthieu Ancellin & Pierre Marchand & Frédéric Dias, 2024. "Towards High-Performance Linear Potential Flow BEM Solver with Low-Rank Compressions," Energies, MDPI, vol. 17(2), pages 1-17, January.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:372-:d:1317603
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/2/372/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/2/372/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Babarit, A., 2013. "On the park effect in arrays of oscillating wave energy converters," Renewable Energy, Elsevier, vol. 58(C), pages 68-78.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Erfan Amini & Danial Golbaz & Fereidoun Amini & Meysam Majidi Nezhad & Mehdi Neshat & Davide Astiaso Garcia, 2020. "A Parametric Study of Wave Energy Converter Layouts in Real Wave Models," Energies, MDPI, vol. 13(22), pages 1-23, November.
    2. Xiaohui Zeng & Qi Wang & Yuanshun Kang & Fajun Yu, 2022. "A Novel Type of Wave Energy Converter with Five Degrees of Freedom and Preliminary Investigations on Power-Generating Capacity," Energies, MDPI, vol. 15(9), pages 1-20, April.
    3. Correia da Fonseca, F.X. & Gomes, R.P.F. & Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O., 2016. "Model testing of an oscillating water column spar-buoy wave energy converter isolated and in array: Motions and mooring forces," Energy, Elsevier, vol. 112(C), pages 1207-1218.
    4. Bonovas, Markos I. & Anagnostopoulos, Ioannis S., 2020. "Modelling of operation and optimum design of a wave power take-off system with energy storage," Renewable Energy, Elsevier, vol. 147(P1), pages 502-514.
    5. Gael Verao Fernandez & Philip Balitsky & Vasiliki Stratigaki & Peter Troch, 2018. "Coupling Methodology for Studying the Far Field Effects of Wave Energy Converter Arrays over a Varying Bathymetry," Energies, MDPI, vol. 11(11), pages 1-24, October.
    6. Bozzi, Silvia & Giassi, Marianna & Moreno Miquel, Adrià & Antonini, Alessandro & Bizzozero, Federica & Gruosso, Giambattista & Archetti, Renata & Passoni, Giuseppe, 2017. "Wave energy farm design in real wave climates: the Italian offshore," Energy, Elsevier, vol. 122(C), pages 378-389.
    7. Cheng, Yong & Li, Gen & Ji, Chunyan & Fan, Tianhui & Zhai, Gangjun, 2020. "Fully nonlinear investigations on performance of an OWSC (oscillating wave surge converter) in 3D (three-dimensional) open water," Energy, Elsevier, vol. 210(C).
    8. Stratigaki, Vasiliki & Troch, Peter & Forehand, David, 2019. "A fundamental coupling methodology for modeling near-field and far-field wave effects of floating structures and wave energy devices," Renewable Energy, Elsevier, vol. 143(C), pages 1608-1627.
    9. Vasiliki Stratigaki & Peter Troch & Tim Stallard & David Forehand & Jens Peter Kofoed & Matt Folley & Michel Benoit & Aurélien Babarit & Jens Kirkegaard, 2014. "Wave Basin Experiments with Large Wave Energy Converter Arrays to Study Interactions between the Converters and Effects on Other Users in the Sea and the Coastal Area," Energies, MDPI, vol. 7(2), pages 1-34, February.
    10. Louise O’Boyle & Björn Elsäßer & Trevor Whittaker, 2017. "Experimental Measurement of Wave Field Variations around Wave Energy Converter Arrays," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    11. Schallenberg-Rodríguez, Julieta & Del Rio-Gamero, Beatriz & Melian-Martel, Noemi & Lis Alecio, Tyrone & González Herrera, Javier, 2020. "Energy supply of a large size desalination plant using wave energy. Practical case: North of Gran Canaria," Applied Energy, Elsevier, vol. 278(C).
    12. Heath, Jason E. & Jensen, Richard P. & Weller, Sam D. & Hardwick, Jon & Roberts, Jesse D. & Johanning, Lars, 2017. "Applicability of geotechnical approaches and constitutive models for foundation analysis of marine renewable energy arrays," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 191-204.
    13. Kovaltchouk, Thibaut & Armstrong, Sara & Blavette, Anne & Ben Ahmed, Hamid & Multon, Bernard, 2016. "Wave farm flicker severity: Comparative analysis and solutions," Renewable Energy, Elsevier, vol. 91(C), pages 32-39.
    14. Rijnsdorp, Dirk P. & Hansen, Jeff E. & Lowe, Ryan J., 2020. "Understanding coastal impacts by nearshore wave farms using a phase-resolving wave model," Renewable Energy, Elsevier, vol. 150(C), pages 637-648.
    15. Gomes, Rui P.F. & Gato, Luís M.C. & Henriques, João C.C. & Portillo, Juan C.C. & Howey, Ben D. & Collins, Keri M. & Hann, Martyn R. & Greaves, Deborah M., 2020. "Compact floating wave energy converters arrays: Mooring loads and survivability through scale physical modelling," Applied Energy, Elsevier, vol. 280(C).
    16. Faedo, Nicolás & Peña-Sanchez, Yerai & Pasta, Edoardo & Papini, Guglielmo & Mosquera, Facundo D. & Ferri, Francesco, 2023. "SWELL: An open-access experimental dataset for arrays of wave energy conversion systems," Renewable Energy, Elsevier, vol. 212(C), pages 699-716.
    17. Dalton, Gordon & Allan, Grant & Beaumont, Nicola & Georgakaki, Aliki & Hacking, Nick & Hooper, Tara & Kerr, Sandy & O’Hagan, Anne Marie & Reilly, Kieran & Ricci, Pierpaolo & Sheng, Wanan & Stallard, T, 2015. "Economic and socio-economic assessment methods for ocean renewable energy: Public and private perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 850-878.
    18. Kara, Fuat, 2016. "Time domain prediction of power absorption from ocean waves with wave energy converter arrays," Renewable Energy, Elsevier, vol. 92(C), pages 30-46.
    19. Zheng, Siming & Zhang, Yongliang, 2018. "Theoretical modelling of a new hybrid wave energy converter in regular waves," Renewable Energy, Elsevier, vol. 128(PA), pages 125-141.
    20. Renzi, E. & Abdolali, A. & Bellotti, G. & Dias, F., 2014. "Wave-power absorption from a finite array of oscillating wave surge converters," Renewable Energy, Elsevier, vol. 63(C), pages 55-68.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:372-:d:1317603. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.